Maximum Power Point Tracking Control of Offshore Wind-Photovoltaic Hybrid Power Generation System with Crane-Assisted  

作　　者：Xiangyang Cao Yaojie Zheng Hanbin Xiao Min Xiao 

机构地区：[1]School of Transportation and Logistics Engineering,Wuhan University of Technology,Wuhan,430063,China [2]Sanya Science and Education Innovation Park,Wuhan University of Technology,Sanya,572024,China [3]School of Computer Science and Artificial Intelligence,Wuhan University of Technology,Wuhan,430063,China

出　　处：《Computer Modeling in Engineering & Sciences》2025年第4期289-334,共46页工程与科学中的计算机建模(英文)

基　　金：supported by the 2022 Sanya Science and Technology Innovation Project,China(No.2022KJCX03);the Sanya Science and Education Innovation Park,Wuhan University of Technology,China(Grant No.2022KF0028);the Hainan Provincial Joint Project of Sanya Yazhou Bay Science and Technology City,China(Grant No.2021JJLH0036).

摘　　要：This study investigates the Maximum Power Point Tracking(MPPT)control method of offshore windphotovoltaic hybrid power generation system with offshore crane-assisted.A new algorithm of Global Fast Integral Sliding Mode Control(GFISMC)is proposed based on the tip speed ratio method and sliding mode control.The algorithm uses fast integral sliding mode surface and fuzzy fast switching control items to ensure that the offshore wind power generation system can track the maximum power point quickly and with low jitter.An offshore wind power generation system model is presented to verify the algorithm effect.An offshore off-grid wind-solar hybrid power generation systemis built in MATLAB/Simulink.Compared with other MPPT algorithms,this study has specific quantitative improvements in terms of convergence speed,tracking accuracy or computational efficiency.Finally,the improved algorithm is further analyzed and carried out by using Yuankuan Energy’s ModelingTech semi-physical simulation platform.The results verify the feasibility and effectiveness of the improved algorithm in the offshore wind-solar hybrid power generation system.

关 键 词：Offshore wind power generation efficiency maximum power point tracking(MPPT) integral sliding mode control grey wolf optimization algorithm offshore photovoltaic cells 

分 类 号：TM614[电气工程—电力系统及自动化]